Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization

Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization

In this thesis, we investigate new ways to mitigate the inherent irregularity in sparse matrix factorizations and decompose the resulting computation into simple kernels which are portable across a diverse set of compute accelerator architectures through our novel compiler borG. Be it weather predic...

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Bibliographic Details
Main Author: Thürck, Daniel
Format: Others
Language:en
Published: 2021
Online Access:https://tuprints.ulb.tu-darmstadt.de/17951/1/20210420_dthuerck_dissertation_pdfa.pdf
Thürck, Daniel <http://tuprints.ulb.tu-darmstadt.de/view/person/Th=FCrck=3ADaniel=3A=3A.html> (2021): Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization. (Publisher's Version)Darmstadt, Technische Universität, DOI: 10.26083/tuprints-00017951 <https://doi.org/10.26083/tuprints-00017951>, [Ph.D. Thesis]

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https://tuprints.ulb.tu-darmstadt.de/17951/1/20210420_dthuerck_dissertation_pdfa.pdf
Thürck, Daniel <http://tuprints.ulb.tu-darmstadt.de/view/person/Th=FCrck=3ADaniel=3A=3A.html> (2021): Irregularity mitigation and portability abstractions for accelerated sparse matrix factorization. (Publisher's Version)Darmstadt, Technische Universität, DOI: 10.26083/tuprints-00017951 <https://doi.org/10.26083/tuprints-00017951>, [Ph.D. Thesis]

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